jc's starred repositories
Siraj_Chatbot_Challenge
Entry for machine learning
recipe-summarization
Sequence to sequence recipe summarization
How-to-Generate-Art-Demo
This is the code for "How to Generate Art - Intro to Deep Learning #8' by Siraj Raval on YouTube
DeepLearning-Challenges
Codes for weekly challenges on Deep Learning by Siraj
TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
How-to-Predict-Stock-Prices-Easily-Demo
How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube
Simple-Inception-Transfer-Learning
A classifier for cat and dog images (Response to Siraj's challenge of the week)
tensorflow_chatbot
Tensorflow chatbot demo by @Sirajology on Youtube
Deep-Learning-projects
Deep Learning projects
MLAlgorithm
Implmentation some basic machine learning algorithms. All of these algorithms are implemented after taking courses in University of Freiburg and also after taking online courses about the ML algorithms.
linear-regression-sklearn
Multivariate linear regression with sklearn
simpleTensorFlowClassificationExample
SImple notebook and dataset to demonstrate classification in TensorFlow
Book-SocialMediaMiningPython
Companion code for the book "Mastering Social Media Mining with Python"
fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
spark-jobserver
REST job server for Apache Spark
ds-for-telco
Source material for Data Science for Telecom Tutorial at Strata Singapore 2015
jsDataV.is-source
Source code for jsDataV.is visualizations
dedupe-geocoder
:round_pushpin: Demonstration of how dedupe might be used as geocoder
postal-address
:postal_horn: Parse, normalize and render postal addresses.
Stock-Price-Predictor
Stock price predictor which predicts change in stock prices using linear regression method
MLT4Trading
A compilation of 3 projects of Machine Learning for Trading Course
style-transfer
An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.
kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.